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class: title-slide .row[ .col-7[ .title[ # Correlation and Regression ] .subtitle[ ## Correlation and Regression ] .author[ ### Laxmikant Soni <br> [blog](https://laxmikants.github.io) <br> [<i class="fab fa-github"></i>](https://github.com/laxmiaknts) [<i class="fab fa-twitter"></i>](https://twitter.com/laxmikantsoni09) ] .affiliatio...
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Support Vector Machines for predicting student passed or failed Support Vector Machines for predicting student passed or failed Introduction to Support Vector Machines (SVM) A Simple Classification Task Steps: Step 1: Load the dataset from an Excel file. Step 2: Prepare features and target Step 3: Split the da...
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Support Vector Machines for predicting student passed or failed Support Vector Machines for predicting student passed or failed Introduction to Support Vector Machines (SVM) A Simple Classification Task Steps: Step 1: Load the dataset from an Excel file. Step 2: Prepare features and target Step 3: Standardize the ...
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options(repos="https://cran.rstudio.com" ) 必要パッケージのインポート pacman::p_load(tidyverse, metafor, meta, svglite) # library(gridExtra) #library(readr) データのインポート Dataset <- read_csv("HDS_metaanalysis.csv") ## Rows: 12 Columns: 12 ## ── Column specification ───────────────�...
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k-Nearest Neighbor (k-NN) k-Nearest Neighbor (k-NN) Introduction Goal Steps of the k-NN Algorithm in This Case Key Considerations Import necessary libraries Step 1: Load the dataset Download CSV file Step 2: Preprocess the data (Encode categorical features if needed) Step 3: Split the dataset into feature...
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はじめに この講義で使用する教科書は、丸善出版の熱力学・統計力学です。この講義が始まり3年目ですが、教科書はまだ模索中です。言い訳にはなりますが、熱力学、統計力学は本来別々に１期ないしは１年通じて学ぶ必要のあるものです。なぜか本学では�...
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Logistic Regression Logistic Regression Hypothesis Mapping Function Components: Hypothesis Explanation: Prediction Rule: Graph of Linear Regression vs Logistic Regression Difference Between Linear and Logistic Models Import Necessary Libraries Download the csv file Load the dataset from the csv file Prepa...
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Linear Regression Linear Regression Machine Learning With Python: Linear Regression With three Variable Problem Statement Mean Squared Error (MSE) Intercept and Slope Download CSV file load the data draw chart between area and price handle missing data features and target Split the dataset into training and test...
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